Description Details Note Author(s) References See Also
Mixed-effects models using Stochastic Differential Equations
This package provides functions for estimation and simulation of multivariate linear and non-linear mixed-effects models using stochastic differential equations. The package allows for multidimensional input, specification of dosage regimen and is able to return smoothed estimates of model states.
Function overview:
PSM.estimate
Estimate population parameters for any linear or non-linear model.
PSM.smooth
Optimal estimates of model states based on estimated parameters.
PSM.simulate
Simulate data for multiple individuals.
PSM.plot
Plot data, state estimates ect. for multiple individuals.
PSM.template
Creates a template with R-syntax to help setup a model in PSM.
For further details please also read the package vignette pdf-document
by writing vignette("PSM")
in R.
Stig B. Mortensen and S<f8>ren Klim
Maintainer: S<f8>ren Klim <skl@imm.dtu.dk>
Stig B. Mortensen, S<f8>ren Klim, Bernd Dammann, Niels R. Kristensen, Henrik Madsen, Rune V. Overgaard. A matlab framework for estimation of NLME models using stochastic differential equations: Application for estimation of insulin secretion rates. J Pharmacokinet Pharmacodyn (2007) 34:623-642.
Web: http://www.imm.dtu.dk/psm
PSM.estimate
, PSM.smooth
,
PSM.simulate
, PSM.plot
, PSM.template
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